Apparatus, method, and computer-readable medium for image processing, and system for training a neural network
US11348005B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2019 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Dec 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20212
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method of training a generative adversarial network. The method includes iteratively enhancing a first noise input in a generative network to generate a first output image; iteratively enhancing a second noise input in the generative network to generate a second output image; transmitting the first output image and a second reference image to a discriminative network, the second reference image corresponding to the first reference image and having a higher resolution than the first reference image; obtaining a first score from the discriminative network based on the second reference image, and a second score from the discriminative network based on the first output image; calculating a loss function of the generative network based on the first score and the second score; and adjusting at least one parameter of the generative network to lower the loss function of the generative network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.